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metoro-io/metoro-mcp-server

by Various

Metoro MCP Server

M

MCP

metoro-io/metoro-mcp-server

Added 1 June 2026

Overview

Metoro MCP Server is an open-source Go server that implements the Model Context Protocol to let AI agents query and act on your Kubernetes clusters. It connects to a Kubernetes API server, retrieves resource state, logs, and events, and exposes those as tools a compatible LLM client can call.

Best for

Best for
Developers and platform engineers who want to integrate LLM-based assistants with their Kubernetes environments

Use cases

  • Debugging pod failures by asking an AI agent to check recent events and logs
  • Automating routine cluster inspections without manual kubectl commands
  • Enabling natural-language queries of Kubernetes resource status and metadata

Notes

Metoro MCP Server is an open-source Go server that implements the Model Context Protocol to let AI agents query and act on your Kubernetes clusters. It connects to a Kubernetes API server, retrieves resource state, logs, and events, and exposes those as tools a compatible LLM client can call.

50 stars on GitHub. Last updated 2026-05-28. Licensed MIT.

Use cases

  • Debugging pod failures by asking an AI agent to check recent events and logs
  • Automating routine cluster inspections without manual kubectl commands
  • Enabling natural-language queries of Kubernetes resource status and metadata

Pros

  • Low overhead Go server with a single binary deployment
  • Provides structured access to live Kubernetes data for LLM agents
  • Open source with a permissive license and active development

Cons

  • Requires cluster-level read permissions and a running companion server
  • Limited to querying existing state, no support for mutating cluster resources
  • Small community and fewer integrations compared to established kubectl plugins

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Low overhead Go server with a single binary deployment
  • Provides structured access to live Kubernetes data for LLM agents
  • Open source with a permissive license and active development

Cons

  • Requires cluster-level read permissions and a running companion server
  • Limited to querying existing state, no support for mutating cluster resources
  • Small community and fewer integrations compared to established kubectl plugins

Pairs with

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